Open Access Article
This Open Access Article is licensed under a
Creative Commons Attribution 3.0 Unported Licence

Preparation of a Z-scheme BiVO4/Cu2O/PPy heterojunction and studying its CO2 reducing properties

Hengxin Ren a, Xinyu Suna, Tong Lia, Zhixin Rena, Chaoyu Songac, Yuguang Lv*ab and Ying Wang*a
aCollege of Pharmacy, Jiamusi University, Jiamusi 154007, China. E-mail: yuguanglv@163.com
bCollege of Materials Science and Engineering, Jiamusi University, Jiamusi 154007, China
cSchool of Chemistry and Chemical Engineering, Shanghai Jiao Tong University, Shanghai 200000, China

Received 16th November 2024 , Accepted 16th December 2024

First published on 25th April 2025


Abstract

Herein, a new Z-scheme BiVO4/Cu2O/PPy heterostructure photocatalyst was developed with bismuth nitrate and ammonium vanadate as the precursors and sodium dodecyl benzyl sulfonate as the soft template. Through the spatial confinement effect of the sodium dodecyl benzyl sulfonate soft template, peanut-like BiVO4 and the BiVO4/Cu2O/PPy heterojunction were synthesized. The best performance was observed for BiVO4/Cu2O/PPy (5%), and its photodegradation rate was 6.57 times higher than that of pure BiVO4. The mechanism study showed that a light hole (h+), superoxide radical (·O2), and hydroxyl radical (·OH) participated in the CO2 reduction process, which was different from the pure BiVO4 reaction system. Therefore, the proposed approach provides a new method for applying BiVO4/Cu2O/PPy photocatalysts and developing the same type of heterojunction photocatalyst, and they have effective practical application for environmental remediation.


1 Introduction

The excessive reliance on fossil fuels is rapidly draining valuable resources, creating an energy crisis, and the greenhouse effect of carbon dioxide that arise from burning of fossil fuels is causing a global climate imbalance.1 These factors pose severe challenges to the survival and development of human society. In this context, applying photocatalytic technology enables the conversion of CO2 into organic compounds, fuels, and other chemicals of economic value.2 This technology demonstrates the potential to directly convert solar energy into chemical energy and helps to reduce the concentration of CO2 in the atmosphere while producing valuable chemicals and fuels to achieve a sustainable energy cycle.3 However, owing to the high stability of the CO2 molecule and its chemical inertness (especially of its sp hybrid carbon, which has a high bond dissociation energy), a higher energy is required to activate and break the CO2 molecule.4 Hence, developing photocatalysts that provide sufficient activation energy is a critical challenge in the photocatalytic reduction of CO2.5

Generally, it is difficult for a single component to simultaneously exhibit a wide light absorption range, effective separation of photogenic carriers, abundant reaction sites and strong REDOX capacity. In order to improve photocatalytic efficiency, heterojunctions, which can promote the separation of photogenerated carriers and integrate the respective advantages of each component, are considered one of the most effective ways. According to the development history, there are three generations of Z-scheme heterostructures (Fig. 1):6–8 (1) traditional Z-scheme heterojunction with a shuttle REDOX medium (Fig. 1a); (2) all-solid-state Z-scheme heterojunction with an electronic medium (Fig. 1b); (3) direct Z-scheme heterojunction with electron-free media (Fig. 1c). The photogenerated electrons and holes of first-generation heterojunction are consumed by the REDOX medium (A/D), which severely weakens photocatalytic activity. In addition, these REDOX media suffer from the drawbacks of shading, pH sensitivity and suitability for liquid media alone, greatly restricting their wide application. Thus, in order to solve the above-mentioned problems of first-generation heterojunctions, the concept of all-solid Z-scheme heterojunction was proposed. In the all-solid-state Z-scheme heterojunction, an electronic medium with good conductivity binds the two semiconductors tightly, thus replacing the shuttle REDOX medium in the first-generation Z-scheme heterojunction. This structure allows the photogenerated electrons and holes to realize spatial separation, thus improving the photocatalytic activity. However, the cost of introducing electronic media, competitive light absorption and demanding structural control requirements limit its application. As a result, the third generation of direct Z-scheme heterostructures emerged without the need for electronic media. Close contact of A and B semiconductors can produce photogenerated electrons and holes under photoexcitation. Electrons in CB of B can directly combine with holes in VB of A. At the same time, the remaining VB holes in B and the electrons in CB of A maintain the initially strong REDOX capacity.


image file: d4ra08130g-f1.tif
Fig. 1 Schematic of the three generations of Z-scheme heterojunction.

Cuprous oxide (Cu2O) is a reductive semiconductor material with application potential. However, the small Eg of Cu2O (about 2.1 eV) limits the separation efficiency of photogenerated electron–hole pairs, and Cu2O is easily disproportionated to form Cu and CuO during the photocatalytic reaction, thus reducing its lifetime and activity.9 Bismuth vanadate (BiVO4) is a widely studied oxide semiconductor material. As a typical low-cost N-type semiconductor, monoclinic crystal BiVO4 has a unique band edge position suitable for water decomposition, with a long hole diffusion distance (about 70 nm), high carrier lifetime (40 ns), and relatively stable photochemical properties.10 Therefore, it has significant potential in solar energy conversion and environmental purification. However, the high recombination rate of photoinduced carriers, together with the low carrier mobility and reduction potential limit the photocatalytic activity of BiVO4.11–13

Combining the high oxidation potential valence band of BiVO4 with the high reduction potential conduction band of Cu2O to construct the BiVO4/Cu2O heterojunction can effectively separate the electron–hole pair, improve the interface charge transfer efficiency and enhance the photocatalytic effect.14 Kim et al.15 demonstrated that Z-scheme heterostructures have strong reduction and oxidation potentials by constructing a Z-scheme charge flow on a three-dimensional nanowire array structure (BVO/C/Cu2O). The photocatalytic conversion rate of CO2 to CO from BVO/C/Cu2O nanowire arrays is 3.01 mol g−1 h−1, which is 9.4 times and 4.7 times that of Cu2O mesh and Cu2O nanowire arrays, respectively.

Generally, a good electronic medium is needed to reduce the possibility of electron recombination and accelerate the process of electron migration from one semiconductor to another to facilitate charge transfer between heterojunction interfaces. Conjugated polymers such as polyaniline (PANI), polypyrrole (PPy), and polythiophene (PT) are considered to be excellent electrical conductors based on their electrochemical response rather than their structure. PPy is a promising material with magnetic-, optical-, and electronic properties associated with metals or semiconductors. It retains the structure and properties of the polymer, such as ease of processing, flexibility, low toxicity, and adjustable electrical conductivity.16–19 However, its poor mechanical properties limit its general application. Many researchers have been working to improve its performance. The doping strategy significantly increases the conductivity and is an effective scheme to promote charge transfer and separation.20 Therefore, PPy often acts as a conductive matrix to enhance the composites' electrical conductivity and photocatalytic activity.21 In addition, introducing PPy can enhance the dispersion and stability of the composite material in the solution, making it easier to contact the reactants, thus improving the reaction rate and efficiency.22

In this study, the high reduction potential of Cu2O, high oxidation potential of BiVO4 and high conductivity of PPy were combined to construct the Z-scheme photocatalytic heterojunction. The photogenic carrier transfer between Cu2O and BiVO4 is enhanced in the presence of PPy as an electronic medium, with the reducing capacity of Cu2O and the oxidation capacity of BiVO4 maintained. In the presence of PPy as an electronic medium, the photogenic carrier transfer between Cu2O and BiVO4 is enhanced, and the reducing capacity of Cu2O and the oxidation capacity of BiVO4 are maintained, which realizes the efficient photocatalytic reduction of CO2.

2 Experiments

2.1 Chemicals and reagents

Bismuth nitrate (Bi(NO3)3·5H2O), sodium dodecyl benzene sulfonate (SDBS), nitric acid, sodium hydroxide, ammonium metavanadate (NH4VO3), anhydrous ethanol, CuSO4·5H2O, sodium potassium tartrate (NaKC4H4O6·4H2O), ammonium sulfate (APS) and sodium hydroxide (NaOH) were purchased from Aladdin Reagent Co., Ltd (Shanghai, China). All the chemicals were analytically pure without further purification. Deionized water was generated in the laboratory.

2.2 Preparation of peanut-shaped BiVO4

Bi(NO3)3·5H2O (2.43 g) and 0.25 g of SDBS were added to 20 mL of nitric acid solution (2 mol L−1) and stirred for 30 min to obtain solution A. NH4VO3 (0.58 g) and 0.25 g of SDBS were added into 10 mL of sodium hydroxide solution (4 mol L−1) and stirred for 30 min to obtain solution B. Under agitation, solution A was slowly added dropwise to solution B. After stirring for 1 h, an orange suspension was obtained. After the pH was adjusted to 7 with NaOH solution, the mixed solution was ultrasonicated for 30 min, and a uniform precursor solution was obtained. The precursor solution was transferred to a polytetrafluoroethylene lined reactor and heated at 180 °C for 12 h at 4 °C min−1. After the heating reaction was complete, the product was naturally cooled to room temperature. The impurities and residual surfactants in the samples were removing by alternative wash steps using deionized water and anhydrous ethanol. Finally, BiVO4 powder was obtained by vacuum drying at 80 °C for 12 h.

2.3 Preparation of BiVO4/Cu2O

Under agitation, 0.07 mol NaOH and 0.035 mol NaKC4H4O6·4H2O were dissolved in 50 mL of distilled water to obtain solution C. A certain amount of BiVO4 powder prepared by the method described in Section 2.2 was dissolved in 50 mL of distilled water. Then, CuSO4·5H2O with different mass fractions were added to the above solution under agitation to obtain solution D. Solution C was added to solution D under continuous magnetic agitation. Subsequently, 50 mL of 0.7 mol L−1 ascorbic acid was added to the mixture. After the pH was adjusted to 10, the mixture was centrifuged to obtain a clay yellow precipitate. Impurities in the sediment are removed by performing alternate wash steps using distilled water and anhydrous ethanol several times. The BiVO4/Cu2O composites with different doping ratios of Cu2O (5%, 10%, and 20%) were obtained by vacuum-drying the precipitate at 60 °C for 12 h. In addition, the above steps were repeated without adding BiVO4 to prepare Cu2O powder.

2.4 Preparation of BiVO4/Cu2O/PPy

The pyrrole monomers with different mass fractions were dissolved in 20 mL of deionized water. Then, the prepared BiVO4/Cu2O complex was added to the pyrrole solution and treated with ultrasound (750 W) for 25 min at room temperature. Ten mL of APS solution (as an oxidizing agent) was slowly added to the above mixture (the molar ratio of pyrrole to APS is 1[thin space (1/6-em)]:[thin space (1/6-em)]1). After continuous stirring for 12 h, the solid product was separated by filtration. The solids were washed multiple times by alternating between distilled water and anhydrous ethanol to remove unreacted monomer and oxidizer residues. After washing, the product was vacuum dried at 80 °C for 12 h, and BiVO4/Cu2O/PPy complexes with different doping ratios of pyrrole (1%, 5%, and 10%) were obtained. The above steps were repeated without adding BiVO4/Cu2O to prepare pure PPy powder. The preparation of BiVO4, BiVO4/Cu2O, and BiVO4/Cu2O/PPy is shown in Scheme 1.
image file: d4ra08130g-s1.tif
Scheme 1 Illustration of the preparation process of the samples.

2.5 Characterization

The crystal structures and compositions of samples were characterized using a SmartLab SE XRD diffractometer at room temperature and the phase analysis was carried out under Cu Kα1 radiation. The morphology, structure, and particle size of the samples were examined using scanning electron microscopy (SEM, Zeiss Gemini 300), transmission electron microscopy (TEM, JEOL JEM-2100F), and high-resolution TEM (HRTEM, JEOL JEM-2100F). The SEM was equipped with a SmartEDX EDS spectrometer detector. Fourier transform infrared spectroscopy (FT-IR) analysis was performed in the 4000–400 cm−1 range using a Nicolet iS20 FTIR spectrometer (Thermo Fisher Scientific), with KBr pellets as the medium. The chemical states of the samples were investigated by XPS on a Kratos Axis ULTRA DLD XPS system, which used a monochromatic Al Kα source ( = 1486.6 eV) to record the core-level spectra. The photoluminescence (PL) study was measured with an Edinburgh FLS980 PL spectrometer. The electron spin resonance spectrum (ESR) technique was carried out using electronic paramagnetic resonance spectroscopy (Bruker EMX plus-6/1). Electrochemical impedance spectroscopy (EIS) was conducted using an electrochemical workstation (Shanghai CH Instruments CHI760E).

2.6 Photocatalytic CO2 reduction

Photocatalytic CO2 reduction was carried out using a Labsolar-6A system of PerfectLight with a 300 W xenon lamp as the light source. First, 30 mg of photocatalyst was uniformly dispersed by ultrasonic treatment and laid on the bottom of the reactor. High-purity CO2 was then injected into the reactor filled until the air inside the unit was completely replaced. Then, the light source turned on. During the photocatalytic reaction, a 1.0 mL sample of gas is periodically taken every 1 h (for a total of 4 h) from the reactor by a sampling needle for quantitative analysis by gas chromatography.

2.7 Band gap value calculation

The band gap of the sample was calculated using formula (1).
 
image file: d4ra08130g-t1.tif(1)
where α is the absorption coefficient, is the photon energy, A is a constant equal to 1, and Eg is the band gap energy. The value of n is 4 for indirect bandgap semiconductors and 1 for direct bandgap semiconductors.

The valence band potential and conduction band potential of the sample were calculated using the following empirical formula:

 
EVB = X + 0.5EgEe (2)
 
ECB = EVBEg (3)
ECB and EVB represent conduction band edges and valence band edges, Eg is the band gap energy, X is the absolute electronegativity of the semiconductor, and Ee is the measurement scale factor of the REDOX level of the reference electrode relative to the absolute vacuum scale (−4.5 eV).

2.8 Free radical trapping experiment

A series of free radical trapping experiments were performed to investigate the mechanism of photocatalytic degradation process and identify the active species that play a role in the reaction. Isopropyl alcohol (1 mmol L−1), sodium EDTA, potassium dichromate and p-benzoquinone were used as scavengers of hydroxyl radical (·OH), hole (h+), electron (e) and superoxide anion radical (·O2), respectively. The scavenger was mixed with the sample solution in the dark until the adsorption equilibrium was reached. Then, the photocatalytic experiment was carried out, the concentration change of the sample was measured after the reaction was completed, and the corresponding degradation rate was calculated. By comparing the degradation rates of samples with different scavengers, we can infer the active species that play a leading role in the photocatalytic degradation process. This provides key information for the analysis of the photocatalytic mechanism.

3 Results and discussion

3.1 Phase structure characterization results

The crystallographic properties of the samples were analyzed by X-ray diffraction (XRD). The XRD pattern of BiVO4 reveals multiple characteristic diffraction peaks that can be attributed to specific crystal faces of the monoclinic BiVO4 system (Fig. 2a and b). The obtained diffraction data are consistent with the powder diffraction file (PDF) card JCPDS 14-0688.23 Similarly, the XRD pattern of Cu2O corresponds to multiple diffraction peaks of Cu2O in the cubic crystal system, matching JCPDS card 65-3288. The high intensity of BiVO4 and Cu2O diffraction peaks indicates that the samples have excellent crystallinity.
image file: d4ra08130g-f2.tif
Fig. 2 XRD diffraction patterns (a and b) and locally amplified XRD diffraction patterns of the prepared samples (c and d).

PPy is a typical amorphous polymer. Therefore, sharp diffraction peaks will not be observed in its XRD pattern. A wide reflection at 2θ = 27° reflects the presence of PPy.24 For composites, a characteristic diffraction peak at 2θ = 36.5° indicates successful deposition of Cu2O particles on the BiVO4 surface (Fig. 2c and d).25 However, the diffraction signal of Cu2O is relatively weak due to the effective coating of Cu2O particles on BiVO4 and PPy. In addition, no significant diffraction peaks associated with PPy were detected in the XRD pattern of BiVO4/Cu2O/PPy composites due to the low doping ratio of PPy and its relatively low diffraction intensity (Fig. 2d). In summary, the loading of Cu2O and PPy does not significantly affect the crystal structure of BiVO4.

The microstructure and surface morphology of the sample were clearly demonstrated by SEM (Fig. 3). BiVO4 exhibits a peanut-like morphology (Fig. S1a), which is attributed to the regulatory role of SDBS as a “soft template” during crystal growth. The surface of these particles is relatively smooth, and the average diameter is 257.69 ± 69.13 nm (Fig. S1d). SDBS molecules have a hydrophilic head and a hydrophobic tail. This amphiphilic property causes it to form micellar structures in solution and acts as a structural template to guide the growth of nanomaterials to form nanoparticles with predetermined shapes and sizes. Cu2O particles have a regular polyhedral structure with a smooth surface and an average particle size of 74.65 ± 21.68 nm (Fig. S2b and e). The aggregation of BiVO4 and Cu2O particles indicates that they are highly crystalline. PPy particles gather irregularly to form a morphology similar to cauliflower, with an average particle size of 151.49 ± 32.59 nm (Fig. S2c and f). Finally, the Cu2O and PPy particles are tightly attached around the BiVO4 particles in the BiVO4/Cu2O/PPy composite (Fig. 3).


image file: d4ra08130g-f3.tif
Fig. 3 SEM images of BiVO4/Cu2O/PPy.

The contents of Bi, V, O, Cu, C and N in BiVO4/Cu2O/PPy were basically consistent with the actual added ratio according to EDS analysis (Fig. 4, S2 and S3). The atomic percentage of Bi and V is close to 1[thin space (1/6-em)]:[thin space (1/6-em)]1, which is consistent with the atomic composition of BiVO4 (Table 1). The element distribution map (Fig. S3) shows that Bi, V, O, Cu, C and N are uniformly distributed in a specific region, where the distribution of Bi, V and O is consistent with the position of the peanut-like BiVO4 particles, and the distribution of Cu and O is consistent with the position of the regular polyhedron structure of Cu2O. The peanut-like BiVO4 surface is evenly covered with C and N elements, which is attributed to the presence of PPy. SEM and EDS maps confirmed the formation of BiVO4/Cu2O/PPy composites and the tight binding between them, which is favorable for photocatalytic activity.


image file: d4ra08130g-f4.tif
Fig. 4 Cumulative EDX elemental mapping signal.
Table 1 Mass and atomic percentage of each element
Element Wt (%) At (%)
C 6.02 22.77
N 0.78 2.52
O 10.49 29.79
V 7.41 6.61
Cu 44.05 31.51
Bi 31.26 6.80


The morphological characteristics of BiVO4/Cu2O/PPy nanocomposites were further verified by HRTEM (Fig. 5). Cu2O and PPy surround BiVO4, forming a clear coating structure. The measured lattice fringe spacing of 0.306 nm is consistent with the (121) plane of monocline BiVO4, while the 0.290 nm interval is consistent with the (110) plane of Cu2O (Fig. 5b). These observations suggest that BiVO4, Cu2O, and PPy form an almost perfect interface contact.


image file: d4ra08130g-f5.tif
Fig. 5 HRTEM images of BiVO4/Cu2O/PPy nanocomposites: (a) overall coating structure; (b) lattice fringes of BiVO4 and Cu2O.

The molecular spectral characteristics and chemical group information of the samples were analyzed by FT-IR (Fig. 6). The characteristic peaks at 512 cm−1 and 784 cm−1 are caused by the stretching vibration of Bi–O and the bending vibration of ν3 (VO43−), and the overlap of these absorption peaks results in a wide peak between 700–900 cm−1.26 There is a strong absorption peak at 633 cm−1, which belongs to the Cu–O bond stretching vibration of the Cu2O sample.27 The characteristic peaks at 1323 and 1631 cm−1 are attributed to the stretching vibrations of –C[double bond, length as m-dash]N and C[double bond, length as m-dash]C in the PPy ring.28 These results fully proved the successful synthesis of BiVO4, Cu2O and PPy monomers. In addition, the characteristic peak of Cu2O at 633 cm−1 overlaps with the wide characteristic peak of BiVO4 at 767 cm−1, which only causes small changes in the doping ratio of different Cu2O samples at 633 cm−1, but it proves that the loading of Cu2O is successful. The triplet heterojunction samples with different PPy doping ratios showed the characteristic peak of PPy at 1631 cm−1, which proved the successful loading of PPy. The stretching vibration of –OH at 3423 cm−1 is attributed to the moisture absorbed by the sample.


image file: d4ra08130g-f6.tif
Fig. 6 FT-IR spectra of different samples.

The light absorption characteristics of the samples were analyzed by UV-vis DRS. The absorption edges of Cu2O and BiVO4 are about 730 nm and 525 nm (Fig. 7a), respectively. The absorption edges of the composites are dispersed between 550 nm and 590 nm. All samples have light absorption properties ranging from ultraviolet to visible light, and the visible light absorption of the samples is enhanced after the formation of heterogeneous structures. The visible light absorption capacity of the sample increases with higher doping ratios. BiVO4/Cu2O recombination ratios of 10% and 5% in BiVO4/Cu2O/PPy show the highest light absorption intensity compared with similar samples. The utilization efficiency of visible light is improved in the composite samples compared to individual Cu2O and BiVO4 components, owing to the enhanced absorption properties discussed above.


image file: d4ra08130g-f7.tif
Fig. 7 UV-vis diffuse reflectance spectra of different samples (a) and Eg (b).

The bandgap energy of BiVO4 and Cu2O was estimated using eqn (1), where α represents the absorption coefficient, ν is the optical frequency, Eg is the bandgap energy, A is a constant, and n depends on the transition characteristics of the semiconductor. The value of n is 1 for direct transition of BiVO4 and Cu2O. Thus, the Eg of BiVO4 and Cu2O are 2.43 and 1.95 eV (Fig. 7b), respectively. The literature shows that the electronegativity of BiVO4 and Cu2O are 6.04 (ref. 29) and 4.84 eV,30 respectively and the ECB and EVB values of BiVO4 are 0.33 eV and 2.75 eV, respectively, calculated according to formula (2) and (3). The ECB and EVB values of Cu2O are −0.64 eV and 1.31 eV, respectively.

The XPS spectra of the surface chemical composition and electronic states showed that the samples consisted of Bi, V, O, C, N, and Cu elements (Fig. S4a), which is consistent with the EDS results. The high-resolution spectrum of Bi 4f can be divided into two characteristic peaks with binding energies of 159.1 eV and 164.5 eV, attributed to Bi 4f2/7 and Bi 4f2/5, respectively (Fig. 8a), indicating the presence of Bi3+ in the composite. The two prominent peaks at 523.6 and 516 eV (Fig. 8b) belong to V 2p3/2 and V 2p1/2, caused by V5+ spin–orbit splitting. The 529.1 and 532.4 eV binding energies in Fig. 8c are attributed to the composite's lattice oxygen and surface-adsorbed oxygen. The chemical states of bismuth, vanadium, and oxygen elements fully demonstrate the presence of BiVO4 in the composite sample.31 The binding energies of 285 eV, 285.9 eV, and 288.6 eV in Fig. 8e are attributed to C[double bond, length as m-dash]C/C–C, C–N, and C[double bond, length as m-dash]O bonds (Fig. 8d). The C[double bond, length as m-dash]O bond of the C 1s peak demonstrates efficient polypyrrole coating on the BiVO4 surface.32 In Fig. 8e, the binding energy of 397.2 eV was attributed to the polypyrrole N–H bond. The chemical states of the element demonstrated the presence of PPy.33 Fig. 8f shows the high-resolution XPS of Cu 2p. Two distinct Cu2O signal peaks at 951.5 eV and 931.50 eV correspond to Cu+ 2p1/2 and Cu 2p3/2, respectively. The signal peaks attributed to Cu2+ were located at 954.2 eV, 941.2 eV, and 933 eV. The presence of these satellite peaks implies the presence of CuO impurities in the composite photocatalyst, which may be caused by the oxidation of Cu2O by oxygen in the air.34 The percentage of Bi and V atoms is close to 1[thin space (1/6-em)]:[thin space (1/6-em)]1 (Fig. S4b), which conforms to the composition of BiVO4 atoms. The XRD, FT-IR, and XPS tests show that BiVO4, Cu2O, and PPy were successfully loaded in the composite, which agrees with the morphology characterization results of SEM and TEM.


image file: d4ra08130g-f8.tif
Fig. 8 XPS patterns of BiVO4/Cu2O/PPy samples: Bi 4f (a), V 2p (b), O 1s (c), C 1s (d), N 1s (e), Cu 2p (f).

3.2 Photocatalytic properties

Fig. 9 shows the effect of different catalysts on the photocatalytic reduction of CO2 to CO and methane over a total irradiation time of 4 h. BiVO4 alone showed poor CO2 reduction performance, while Cu2O and PPy alone showed relatively good CO2 reduction performance (Fig. 9a–c). The yield of CO and CH4 produced by Cu2O is 24.7 and 16.7 times that of BiVO4 samples, respectively. The yield of PPy to CO and CH4 was 34.8 and 23.6 times that of BiVO4 samples, respectively. The lower reduction potential of BiVO4's conduction band is the main factor leading to its poor CO2 reduction. The performance of CO2 reduction is significantly improved by the combination of Cu2O and BiVO4, and is positively correlated with the doping rate of Cu2O. The yield of CO and CH4 produced by BiVO4/Cu2O (10%) is 4.89 and 4.74 times higher than that of Cu2O samples, respectively. This is due to the fact that the BiVO4/Cu2O composite has a wider light response range and higher quantum yield than the monomers. Interestingly, the performance of CO2 reduction was further improved when PPy was combined with BiVO4/Cu2O, and is positively correlated with the doping rate of PPy. The CO and CH4 yields of BiVO4/Cu2O/PPy (5%) were 1.62 and 1.71 times higher than those of BiVO4/Cu2O (10%) samples, respectively. These results indicate that PPy effectively promotes e transfer as an electronic medium. Moreover, the photocatalytic CO2 reduction performance remained good after four cycles of experiments (Fig. 9d). The kinetic equation was obtained by fitting the rate of CO2 reduction of all catalysts (Table S1). Among them, BiVO4/Cu2O/PPy (5%) shows the largest slope value, indicating that it has the best photocatalytic conversion efficiency.
image file: d4ra08130g-f9.tif
Fig. 9 Photocatalytic curves of CO2 reduction to (a) CO and (b) CH4; bar chart for reduction product generation rate of CO2 for different catalysts (c); and stability test of BiVO4/Cu2O/PPy (5%) (d).

3.3 Photocatalytic mechanism

The mechanism of CO2 reduction by the photocatalyst was determined by steady-state PL spectroscopy and an electrochemical impedance test. In the PL diagram (Fig. 10a), the pure BiVO4 exhibited the strongest fluorescence spectral absorption peak, which was higher than Cu2O and PPy, indicating that its quantum yield is higher and the photogenerated carrier recombination rate is the highest. BiVO4/Cu2O/PPy has the weakest absorption strength among all samples, indicating that its average carrier lifetime is longer than that of homomonomers and BiVO4/Cu2O. This indicates that doping with Cu2O and PPy can reduce the carrier recombination rate, and the carrier recombination inhibition rate is linearly related to the doping ratio. BiVO4/Cu2O/PPy (5%) has a small impedance arc curve in the impedance test diagram (Fig. 10b), corresponding to its small resistance and strong electron transport ability. This suggests that doping of Cu2O and PPy can promote e transport. In summary, the separation efficiency and migration rate of photogenerated carriers of BiVO4/Cu2O/PPy have been significantly improved to obtain excellent photocatalytic CO2 reduction performance.
image file: d4ra08130g-f10.tif
Fig. 10 PL spectrum (excitation wavelength: 360 nm) (a) and EIS curve (b) of various photocatalysts.

The REDOX capacity of the sample was measured by ESR. ·OH and ·O2 were successfully captured on the surface of BiVO4/Cu2O and BiVO4/Cu2O/PPy samples (Fig. 11), indicating that both of these samples have oxidation and reduction capabilities. At the same time, the discovery of ·O2 is strong evidence of the Z-scheme electron transport mechanism. However, the simple BiVO4 sample does not capture the ·O2 because the ECB energy level of BiVO4 is 0.34 eV, which is lower than the formation potential of ·O2 (−0.33 eV) and insufficient to generate ·O2. The signals of ·OH and ·O2 on the surface of the sample of the ternary composite catalyst are stronger, which indicates that the this ternary heterostructure can more effectively use photogenerated charge for the photocatalytic conversion reaction. These results confirm that the combination of Cu2O and PPy can enhance the REDOX capacity of BiVO4, thereby improving the efficiency of photocatalytic CO2 conversion. These findings have important implications for understanding and designing efficient photocatalysts.


image file: d4ra08130g-f11.tif
Fig. 11 ESR spectra of radical species under varying conditions: (a) DMPO-·OH adducts measured under dark, 5 min light irradiation, and 10 min light irradiation. (b) DMPO-·O2 adducts for pristine BiVO4, BiVO4/Cu2O, and BiVO4/Cu2O/PPy composites.

Under visible light, BiVO4, Cu2O, and PPy produce e and h+ and transfer to the respective CB and VB, respectively. Due to the difference in the Fermi levels of the respective CB and VB, e will theoretically transfer from PPy to Cu2O and then reach the CB of BiVO4. Similarly, h+ will be transferred from BiVO4 to Cu2O and then to the LUMO of PPy. The ECB potential of BiVO4 (0.34 eV) is insufficient to drive ·O2 generation (−0.33 eV vs. NHE), while the LUMO potential of PPy (2.8 eV vs. NHE) also fails to support ·OH production. These thermodynamic limitations contradict the observed radical signals in ESR and trapping experiments, invalidating the proposed electron transport pathway. Consequently, we propose an alternative mechanism.

All three photocatalytic materials can be excited by visible light to produce e and h+ (Fig. 12). Subsequently, the photogenic e on BiVO4 (0.34 eV) CB was rapidly transferred to the HOMO of PPy (1.05 eV). However, h+ in the Cu2O valence band (1.31 eV) can quickly migrate to HOMO and recombine with e. Moreover, photoelectrons on the CB of Cu2O would reduce CO2, and part of h+ on the VB of B of BiVO4 would readily bind to generate ·OH, oxidizing H2O to produce O2. This electron transfer method fits with the Z-scheme heterostructure, and its unique electron transport channel can shorten the migration distance and time of the photogenerated charge, further delaying the reorganization of e and h+, and finally inducing significant photocatalytic activity.35


image file: d4ra08130g-f12.tif
Fig. 12 Mechanism of photocatalytic reduction of CO2 by BiVO4/Cu2O/PPy nanocomposites under visible light.

4 Conclusion

BiVO4 was synthesized using bismuth nitrate as raw material and SDBS as soft template. BiVO4/Cu2O was obtained by subsequent oxidation. Finally, BiVO4/Cu2O/PPy was obtained by solution oxidation. XRD, FT-IR, XPS, SEM and TEM results confirm the formation of Z-scheme heterojunction. BiVO4/Cu2O/PPy (5%) produced 49.1 and 33.9 μmol g−1 of CO and CH4, respectively, within 4 h, which was 196 and 135 times greater that of BiVO4. After four cycles, the CO2 reduction rate was maintained. Formation of the Z-scheme charge transfer mechanism shortens the migration distance and time of the photogenerated charge and further delays the recombination of electrons and holes. The photocatalytic performance of the sample was improved. The results provide important theoretical support for the application of BiVO4/Cu2O/PPy photocatalyst and the design and application of various catalysts in the future.

Data availability

The authors confirm that the data supporting the findings of this study are available within the article.

Author contributions

Hengxin Ren: writing – original draft preparation, methodology, formal analysis; Xinyu Sun and Tong Li: writing – original draft preparation, formal analysis, visualization, project administration; Zhixin Ren: writing – review and editing; Yuguang Lv and Ying Wang: data analysis and resources. All authors have read and agreed to the published version of the manuscript.

Conflicts of interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Acknowledgements

This work was financially supported by Heilongjiang Provincial Natural Science Foundation Program (No. YQ2022E042), Heilongjiang Province Postdoctoral Funding Project (LBH-Z23297), Basic Research Project of Basic Scientific Research Operating Expenses of Heilongjiang Provincial Department of Education (2023-KYYWF-0585), and National Foundation Cultivation Project of Jiamusi University (JMSUGPZR2023-011). This work was supported by the Department of Scientific Research Project in Heilongjiang Province (No. LH2022B022) and North Medicine and Functional Food Characteristic Subject Project in Heilongjiang Province (No. HLJTSXK-2022-03). All of the authors extend their gratitude to Mr Shi Xiaofei from Shiyanjia Lab (https://www.shiyanjia.com) and the “Dongji” Academic Team of Jiamusi University DJXSTD202414 for providing invaluable assistance.

References

  1. R. Murphy, Energy Res. Soc. Sci., 2024, 108, 103390 CrossRef.
  2. Z. Wang, G. Zou, J. H. Park and K. Zhang, Sci. China Mater., 2024, 67, 397–423 CrossRef CAS.
  3. Z. Wei, W. Xu, P. Peng, Q. Sun, Y. Li, N. Ding, C. Zhao, S. Li and S. Pang, Mol. Catal., 2024, 558, 114042 CrossRef CAS.
  4. X. Liu, H. Zhang, X. Qiu, H. Ye, Y. Xie and Y. Ling, Appl. Catal., A, 2024, 671, 119574 CrossRef CAS.
  5. M. Li, S. Chen, Y. Wang and J. Zhang, ChemistrySelect, 2024, 9, e202303865 CrossRef CAS.
  6. X. Liu, Q. Zhang and D. Ma, Sol. RRL, 2021, 5, 2000397 CrossRef CAS.
  7. J. Yu, X. Yao, P. Su, S. Wang, D. Zhang, B. Ge and X. Pu, Journal of Liaocheng University (Natural Science Edition), 2024, 37, 52–61 Search PubMed.
  8. J. Low, C. Jiang, B. Cheng, S. Wageh, A. A. Al-Ghamdi and J. Yu, Small Methods, 2017, 1, 1700080 CrossRef.
  9. Q. Su, C. Zuo, M. Liu and X. Tai, Molecules, 2023, 28, 5576 CrossRef CAS PubMed.
  10. J. H. Kim and J. S. Lee, Adv. Mater., 2019, 31, 1806938 CrossRef PubMed.
  11. R. Razi and S. Sheibani, Ceram. Int., 2021, 47, 29795–29806 CrossRef CAS.
  12. X. Li, J. Wan, Y. Ma, Y. Wang and X. Li, Chem. Eng. J., 2021, 404, 127054 CrossRef CAS.
  13. Z.-H. Wei, Y.-F. Wang, Y.-Y. Li, L. Zhang, H.-C. Yao and Z.-J. Li, J. CO2 Util., 2018, 28, 15–25 CrossRef CAS.
  14. M. Liaqat, T. Iqbal, Z. Ashfaq, S. Afsheen, M. Khan, R. Rashad, M. Sayed and A. M. Ali, J. Chem. Phys., 2023, 159, 20 CrossRef PubMed.
  15. C. Kim, K. M. Cho, A. Al-Saggaf, I. Gereige and H.-T. Jung, ACS Catal., 2018, 8, 4170–4177 CrossRef CAS.
  16. T. S. Aras, S. Soyleyici, H. C. Soyleyici and M. Ak, Mater. Today Commun., 2024, 39, 108882 CrossRef.
  17. M. Ates, Prog. Org. Coat., 2011, 71, 1–10 CrossRef CAS.
  18. X. Yuan and H. Remita, Top. Curr. Chem., 2022, 380, 32 CrossRef CAS PubMed.
  19. M. E. Mofdal, N. Z. Al-Hazeem, N. M. Ahmed and N. H. Al-Hardan, J. Mater. Sci.: Mater. Electron., 2022, 33, 7068–7078 CrossRef CAS.
  20. Z.-L. Yang, D.-Y. Peng, H.-Y. Zeng, J. Xiong, S. Li, W.-Y. Ji and B. Wu, Colloids Surf., A, 2024, 680, 132647 CrossRef CAS.
  21. K. Lv, D. Wan, D. Zheng, Y. Qin and Y. Lv, J. Alloys Compd., 2021, 872, 159597 CrossRef CAS.
  22. H. Ren, Y. Qin and Y. Lv, Surf. Rev. Lett., 2022, 29, 2250009 CrossRef CAS.
  23. B. Baral, K. H. Reddy and K. Parida, J. Colloid Interface Sci., 2019, 554, 278–295 CrossRef CAS PubMed.
  24. M. Maruthapandi, A. P. Nagvenkar, I. Perelshtein and A. Gedanken, ACS Appl. Polym. Mater., 2019, 1, 1181–1186 CrossRef CAS.
  25. A. M. Mohamed, S. Abdelwahab, N. M. Elsawy, N. A. Ahmed and A. I. Raafat, Int. J. Biol. Macromol., 2024, 258, 128681 CrossRef CAS PubMed.
  26. W. Zhang, H. Zhang, W. Huang, X. Lu, S. Gao, J. Wang, D. Zhang, X. Zhang and M. Wang, Inorg. Chem. Front., 2022, 9, 977–986 RSC.
  27. N. T. T. Vo, T. M. Cao and V. Van Pham, MRS Commun., 2023, 13, 1395–1399 CrossRef CAS.
  28. B. Alouche, A. Yahiaoui and A. Dehbi, Polym. Sci., Ser. B, 2020, 62, 750–755 CrossRef.
  29. S. Bai, Q. Li, N. Han, K. Zhang, P. Tang, Y. Feng, R. Luo, D. Li and A. Chen, J. Colloid Interface Sci., 2020, 567, 37–44 CrossRef CAS PubMed.
  30. N. Omrani and A. Nezamzadeh-Ejhieh, J. Mol. Liq., 2020, 315, 113701 CrossRef CAS.
  31. M. F. Abou Taleb, A. Jabeen, H. A. Albalwi, F. I. Abou El Fadl, M. Anwar and M. M. Ibrahim, FlatChem, 2023, 42, 100561 CrossRef CAS.
  32. J. Huang, H. Shi, X. Wang, P. Wang, F. Chen and H. Yu, Catal. Sci. Technol., 2024, 14, 2514–2521 RSC.
  33. S. Essenni, M. A. Khan, B.-H. Jeon, S. Sundaramurthy and M. Agunaou, J. Mol. Liq., 2024, 398, 124270 CrossRef CAS.
  34. A. M. Mohammed, S. S. Mohtar, F. Aziz, M. Aziz, A. Ul-Hamid, W. N. W. Salleh, N. Yusof, J. Jaafar and A. F. Ismail, Mater. Sci. Semicond. Process., 2021, 122, 105481 CrossRef CAS.
  35. X. Qiu, J. Li, Y. Zhao, S. Lin, Z. Sun, Y. Fang and L. Guo, J. Alloys Compd., 2023, 967, 171739 CrossRef CAS.

Footnotes

Electronic supplementary information (ESI) available. See DOI: https://doi.org/10.1039/d4ra08130g
These authors contributed equally to this work.

This journal is © The Royal Society of Chemistry 2025
Click here to see how this site uses Cookies. View our privacy policy here.